ACADEMICS
Course Details
ELE 408 Industrial Control
2020-2021 Fall term information
The course is not open this term
Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.
Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University (http://akts.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems. Course data last updated on 23/01/2021.
ELE408 - INDUSTRIAL CONTROL
Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
---|---|---|---|---|---|---|
INDUSTRIAL CONTROL | ELE408 | 8th Semester | 3 | 0 | 3 | 6 |
Prerequisite(s) | ELE354 Control Systems | |||||
Course language | English | |||||
Course type | Elective | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | Lecture Problem Solving Other: Homeworks | |||||
Instructor (s) | Faculty members | |||||
Course objective | This course aims to equip the student with a working knowledge of control engineering. We will try to present the big picture of industrial automation and control by discussing realistic approaches to real control problems by using contemporary methodologies and technologies. | |||||
Learning outcomes |
| |||||
Course Content | Structure of Industrial Control and Automation Problems Modelling of Processes Sensing and Actuation Technology Electronic Instrumentation Technology Automation via PLC Technology Control System Architecture and Design | |||||
References | D.Bailey, E.Wright, Practical SCADA for Industry, Elsevier, 2003. T.L.M.Bartelt, Industrial Control Electronics, 7.Ed., Delmar Learning, 2001. R.N. Bateson, Introduction to Control System Technology, 7. Ed., Prentice Hall, 2002. Bennett, Real Time Computer Control, 2. Ed., Prentice Hall, 1993. J.P. Bentley, Principles of Measurement Systems, 2nd. Ed., Longman, 1988. A.Bodur, Pratik DCS: Dağıtılmış Kontrol Sistemleri, Bileşim Yayıncılık, 2006. A.Bodur, G.Dinçer, C.Gerçek, Her Yönüyle Enstrümantasyon ve Ölçme, Infogate, 2001. J.G. Bollinger, N.A. Duffie, Computer Control of Machines and Processes, |
Course outline weekly
Weeks | Topics |
---|---|
Week 1 | Introduction to Industrial Control |
Week 2 | Dynamical System Models |
Week 3 | Modelling of Industrial Processes |
Week 4 | Measurement Fundamentals |
Week 5 | Sensor Technology |
Week 6 | Actuator Technology and Electrical Drives |
Week 7 | Signal Conditioning and Data Acqusition |
Week 8 | Midterm Exam |
Week 9 | Sequantial Control and PLC |
Week 10 | Continuous Process Control and PID Controllers |
Week 11 | Advanced Control Architectures |
Week 12 | Control of Multivariable Processes |
Week 13 | Embeded Control Systems |
Week 14 | Industrial Communications |
Week 15 | Preparation for Final exam |
Week 16 | Final exam |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 0 | 0 |
Laboratory | 0 | 0 |
Application | 0 | 0 |
Field activities | 0 | 0 |
Specific practical training | 0 | 0 |
Assignments | 10 | 10 |
Presentation | 0 | 0 |
Project | 0 | 0 |
Seminar | 0 | 0 |
Midterms | 1 | 40 |
Final exam | 1 | 50 |
Total | 100 | |
Percentage of semester activities contributing grade succes | 11 | 50 |
Percentage of final exam contributing grade succes | 1 | 50 |
Total | 100 |
Workload and ECTS calculation
Activities | Number | Duration (hour) | Total Work Load |
---|---|---|---|
Course Duration (x14) | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Specific practical training | 0 | 0 | 0 |
Field activities | 0 | 0 | 0 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 3 | 42 |
Presentation / Seminar Preparation | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework assignment | 10 | 3 | 30 |
Midterms (Study duration) | 1 | 20 | 20 |
Final Exam (Study duration) | 1 | 30 | 30 |
Total Workload | 40 | 59 | 164 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
D.9. Key Learning Outcomes | Contrubition level* | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |
1. PO1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline. | X | ||||
2. PO2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions. | X | ||||
3. PO3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods. | X | ||||
4. PO4. Designs a system under realistic constraints using modern methods and tools. | X | ||||
5. PO5. Designs and performs an experiment, analyzes and interprets the results. | X | ||||
6. PO6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member. | X | ||||
7. PO7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology. | X | ||||
8. PO8. Performs project planning and time management, plans his/her career development. | X | ||||
9. PO9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies. | X | ||||
10. PO10. Is competent in oral or written communication; has advanced command of English. | X | ||||
11. PO11. Has an awareness of his/her professional, ethical and social responsibilities. | X | ||||
12. PO12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems. | X | ||||
13. PO13. Is innovative and inquisitive; has a high level of professional self-esteem. | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest